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    <div align="right">Last update : 20/12/2004</div>
    <p>
      <b>nanmin</b> -   min  (ignoring Nan's) </p>
    <h3>
      <font color="blue">Calling Sequence</font>
    </h3>
    <dl>
      <dd>
        <tt>[m,index]=nanmin(x)  </tt>
      </dd>
      <dd>
        <tt>[m,index]=nanmin(x,'r')  </tt>
      </dd>
      <dd>
        <tt>[m,index]=nanmin(x,'c')  </tt>
      </dd>
    </dl>
    <h3>
      <font color="blue">Parameters</font>
    </h3>
    <ul>
      <li>
        <tt>
          <b>x</b>
        </tt>: real or complex vector or matrix</li>
    </ul>
    <h3>
      <font color="blue">Description</font>
    </h3>
    <p>
    This function gives for a real or a numerical matrix <tt>
        <b>x</b>
      </tt> 
    his largest element <tt>
        <b>   m</b>
      </tt> (but ignoring the
    NANs).</p>
    <p>
    For    <tt>
        <b> x</b>
      </tt>,   a  numerical   vector  or matrix, 
    <tt>
        <b> m=nanmin(x) </b>
      </tt>  returns in scalar  <tt>
        <b> m</b>
      </tt> the largest
    element of <tt>
        <b> x</b>
      </tt> (ignoring  the  NANs). The form  
    <tt>
        <b>[m,index] =nanmin(x,orient) </b>
      </tt> gives  in addition of  the
    value of the largest  element of <tt>
        <b>  x</b>
      </tt> (ignoring  the
    NANs) in scalar  <tt>
        <b> m</b>
      </tt>, the index  of  this element in
    <tt>
        <b> x</b>
      </tt>, as a 2-vector.</p>
    <p>
      <tt>
        <b>m=nanmin(x,'r') </b>
      </tt> gives in the 1xsize(x,2) matrix 
    <tt>
        <b>m</b>
      </tt> the largest elements  (ignoring  the NANs) of  each
    column  of     <tt>
        <b>    x</b>
      </tt>.     If  the  form      
    <tt>
        <b> [m,index]=nanmin(x,'r') </b>
      </tt> is  used, the  elements of the
    1xsize(x,2) matrix  index are  the indexes of  the largest
    elements (ignoring the NANs)  of each column  of x  in the
    corresponding column.</p>
    <p>
    m=nanmin(x,'c')  gives  in  the size(x,2)x1  matrix  m the
    largest elements (ignoring the NANs) of each row of x.  If
    the form  [m,index]=nanmin(x,'c') is used, the elements of
    the size(x,2)x1   matrix  index are   the  indexes  of the
    largest elements  (ignoring the NANs) of  each row of x in
    the corresponding row.</p>
    <p>
    In Labostat, NAN values stand for missing values in tables.</p>
    <h3>
      <font color="blue">Examples</font>
    </h3>
    <pre>

x=[0.2113249 %nan 0.6653811;0.7560439 0.3303271 0.6283918]
m=nanmin(x)
m=nanmin(x,'r')
m=nanmin(x,'c')
 
  </pre>
    <h3>
      <font color="blue">Author</font>
    </h3>
    <p> Carlos Klimann</p>
    <h3>
      <font color="blue">Bibliography</font>
    </h3>
    <p>
    Wonacott, T.H. &amp; Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley &amp; Sons, 1990.</p>
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